AI Multi-Agent: Build & Deploy on Virtuals Protocol with ACP

Virtuals Protocol | GAME | ACP | AutoGen | Ollama | MCP | RAG | Llama | Qwen | DeepSeek | Mistral AI

Dive into LLM app development

Configure Onchain Assets for AI Agent Coordination in Virtuals Protocol.

Master tools: Virtual Protocol, GAME, Agent Commerce Protocol (ACP), AutoGen, Ollama, MCP

Work with DeepSeek, Llama, Qwen models. And also the use of the Mistral AI API.

Build AI Agents, Multi-Agent, RAG, VLM, and integrate with Virtual Protocol, Telegram and X.

Practice-focused, innovate from automation to analytics

Course Objectives

Equip you with the skills to build innovative applications using LLMs, leveraging tools like AutoGen, GAME, Virtual Protocol, Agent Commerce Protocol (ACP), MCP, Ollama, and models such as DeepSeek, Llama, Qwen, Mistral, plus AI Agent, Multi-Agent, VLM, and RAG. You’ll master the development of intelligent agents and learn to apply various integrations.

Why Choose This Course?

• Helps you create relevant Pet Projects (AI Agents / RAG).

• Strong focus on practical application.

• Covers the full journey—from core concepts to advanced solutions.

• Modular structure suitable for all skill levels.

• Built on best practices for effective learning.

• Taught by a practitioner with experience in major projects and a teaching background.

• Memes

• Support

What You’ll Gain After Completing the Course

• Pet Projects with AI in your portfolio.

• Skills in working with AutoGen, RAG, VLM, and LLM optimization.

• Ability to design multi-agent systems.

• Expertise in data integration

• Experience building AI-driven applications.

Course Highlights

• Prepares you for the latest industry challenges.

• Goes beyond basic courses with cutting-edge IT knowledge.

• Real-world examples from practice.

• Challenges, metaphors, and humor for engaging learning.

What You’ll Be Doing

• Studying theory paired with hands-on tasks.

• Analyzing real-world scenarios.

• Exploring programmatic implementations of AI Agents and applying your knowledge.

Course Topics and Tasks

• Building Telegram Bots and bots for X

• Creating a portfolio with AI-driven projects.

• Fundamentals of Multi-Agent Systems and RAG.

• Optimizing and fine-tuning LLMs.

• Working with VLM.

• Integrating with modern solutions.

• And much more!

Who This Course Is For:

Developers
You build apps and integrate AI, but struggle with quickly implementing AI agents and Multi-Agent systems. Learn to use AutoGen, GAME, Virtual Protocol, Agent Commerce Protocol (ACP), MCP, Ollama, and Mistral for innovative solutions.
Situation: "I need to speed up chatbot creation, but traditional approaches slow me down."

ML Engineers
You work with DeepSeek, Llama, Qwen, Mistral models but want to enhance RAG and VLM for complex tasks. This course optimizes data and integrates with AI agents.
Situation: "My models need more context, but data processing takes hours."

Career Upgrades
You want to refresh your skills and master modern AI tools. The course covers Multi-Agent, RAG, and LLM tuning, preparing you for 2025 industry challenges.
Situation: "My current skills are outdated; I need to learn 2025 trends."

Trend Explorers
You follow tech advancements and want to dive into cutting-edge AI Agent and VLM approaches. Gain practical skills with the latest frameworks.
Situation: "I want to understand how Multi-Agent systems are reshaping the market, but don’t know where to start."

Crypto AI Agent Specialists
You work in blockchain and aim to automate trading or market analysis with AI. Learn to build predictive agents.
Situation: "I need to forecast Bitcoin trends, but current tools lack accuracy."

What You’ll Gain:

• In-demand skills for LLM tasks (AI Agents/RAG).

• Knowledge employers seek in AI.

• Hands-on practice with theory.

• Diverse examples—from basic to advanced—for your portfolio.

• Access to a community forum for solutions and discussions.